Robust iterative decoding of turbo codes in heavy-tailed noise

The advancements in channel coding theory over the past decades have been accomplished by considering of additive white Gaussian noise (AWGN) channels. Much less is known about the consequences when the standard AWGN assumption is not fulfilled in realistic environments and, more importantly, the ap...

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Main Author: Chuah, T.C.
Format: Article
Language:English
Published: 2005
Subjects:
Online Access:http://shdl.mmu.edu.my/2263/
http://shdl.mmu.edu.my/2263/1/1567.pdf
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author Chuah, T.C.
author_facet Chuah, T.C.
author_sort Chuah, T.C.
building MMU Institutional Repository
collection Online Access
description The advancements in channel coding theory over the past decades have been accomplished by considering of additive white Gaussian noise (AWGN) channels. Much less is known about the consequences when the standard AWGN assumption is not fulfilled in realistic environments and, more importantly, the appropriate countermeasures. The paper investigates the robustness of turbo codes decoded by existing quadratic-type algorithms in heavy-tailed, non-Gaussian noise channels. It illustrates that impulsive noise constitutes a major impairment in turbo decoding by studying the a posteriori probabilities computed by the constituent decoders, in addition to a formal account in terms of error probability performance. It is found that the performance of turbo codes is extremely sensitive to the shape of the underlying noise density function, being considerably degraded when this function departs from Gaussianity into a heavy-tailed distribution. A robust variant of existing decoders for reliable decoding of turbo codes to heavy-tailed noise is proposed and studied. The robustness is achieved by the enforcement of a non-quadratic soft metric into the decoder for good estimation of the transition probabilities and reliable extraction of extrinsic information.
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spelling mmu-22632011-09-12T02:12:39Z http://shdl.mmu.edu.my/2263/ Robust iterative decoding of turbo codes in heavy-tailed noise Chuah, T.C. TA Engineering (General). Civil engineering (General) The advancements in channel coding theory over the past decades have been accomplished by considering of additive white Gaussian noise (AWGN) channels. Much less is known about the consequences when the standard AWGN assumption is not fulfilled in realistic environments and, more importantly, the appropriate countermeasures. The paper investigates the robustness of turbo codes decoded by existing quadratic-type algorithms in heavy-tailed, non-Gaussian noise channels. It illustrates that impulsive noise constitutes a major impairment in turbo decoding by studying the a posteriori probabilities computed by the constituent decoders, in addition to a formal account in terms of error probability performance. It is found that the performance of turbo codes is extremely sensitive to the shape of the underlying noise density function, being considerably degraded when this function departs from Gaussianity into a heavy-tailed distribution. A robust variant of existing decoders for reliable decoding of turbo codes to heavy-tailed noise is proposed and studied. The robustness is achieved by the enforcement of a non-quadratic soft metric into the decoder for good estimation of the transition probabilities and reliable extraction of extrinsic information. 2005-02 Article NonPeerReviewed application/pdf en http://shdl.mmu.edu.my/2263/1/1567.pdf Chuah, T.C. (2005) Robust iterative decoding of turbo codes in heavy-tailed noise. IEE Proceedings - Communications, 152 (1). pp. 29-38. ISSN 13502425 http://dx.doi.org/10.1049/ip-com:20040864 doi:10.1049/ip-com:20040864 doi:10.1049/ip-com:20040864
spellingShingle TA Engineering (General). Civil engineering (General)
Chuah, T.C.
Robust iterative decoding of turbo codes in heavy-tailed noise
title Robust iterative decoding of turbo codes in heavy-tailed noise
title_full Robust iterative decoding of turbo codes in heavy-tailed noise
title_fullStr Robust iterative decoding of turbo codes in heavy-tailed noise
title_full_unstemmed Robust iterative decoding of turbo codes in heavy-tailed noise
title_short Robust iterative decoding of turbo codes in heavy-tailed noise
title_sort robust iterative decoding of turbo codes in heavy-tailed noise
topic TA Engineering (General). Civil engineering (General)
url http://shdl.mmu.edu.my/2263/
http://shdl.mmu.edu.my/2263/
http://shdl.mmu.edu.my/2263/
http://shdl.mmu.edu.my/2263/1/1567.pdf